Machine Learning Engineer II
Tasks
- Build production machine learning models for fraud detection
- Collaborate with engineering teams to strengthen machine learning pipeline
- Communicate complex ideas to executives
- Design experiments and collect data
- Improve components of commerce protection platform
- Research fraud patterns in real-time
- Review code in shared codebase
- Work with distributed data pipelines
- Write production and offline code in Python
Perks/Benefits
- Annual performance bonus
- Health insurance
- Learning budget
- Mental wellbeing resources
- Paid Team Social Events
- Pension match
- Stock options
Skills/Tech-stack
Data Pipelines | Distributed data | Distributed data pipelines | Linux | Machine Learning | PySpark | Python | SQL | Statistics
Education
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